Ergotropy of Bosonic Quantum Battery Driven via Repelling Feedback Algorithms

Abstract

Feedback algorithms can be efficiently applied to control the basic characteristics of quantum batteries (QBs): the ergotropy, the charging power, the storage capacity and others. We invent here two alternative approaches, target repeller and speed gradient feedback, to maximize the ergotropy for bosonic types of single-qubit based quantum batteries. We demonstrate the achievability of the control goal and discuss some pros and cons of both proposed algorithms. © 2021 Elsevier B.V., All rights reserved.